A Study of Effective Unified Medical Language System Concept Indexing in Radiology Reports / 대한의료정보학회지
Journal of Korean Society of Medical Informatics
;
: 295-302, 2004.
Artigo
em Coreano
| WPRIM
| ID: wpr-89249
ABSTRACT
OBJECTIVE:
For the effective retrieval of clinical information, the elaborate indexing is essential. Two major types of indexing are the human indexing and the automatic or machine indexing. Human indexing shows higher quality but is time consuming, labor-intensive and inconsistent in term assignment activity.METHODS:
Using the Unified Medical Language System (UMLS) MetaMap program, we mapped the free text from the diagnosis section of radiology reports into UMLS concepts. To improve the precision of UMLS concept indexing by MetaMap, we evaluated the UMLS subset mapping and semantic type filtering methods, determining the best combination for improved precision.RESULTS:
After calculating the candidates from subset combinations, we obtained more enhanced results by semantic-type filtering.CONCLUSION:
The results may be improved for the complete automation of indexing process.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Semântica
/
Automação
/
Unified Medical Language System
/
Diagnóstico
/
Indexação e Redação de Resumos
Tipo de estudo:
Estudo diagnóstico
Limite:
Humanos
Idioma:
Coreano
Revista:
Journal of Korean Society of Medical Informatics
Ano de publicação:
2004
Tipo de documento:
Artigo
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